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dc.contributor.author
Alvarez, Emiliano
dc.contributor.author
Brida, Gabriel
dc.contributor.author
London, Silvia
dc.date.available
2024-11-04T13:39:05Z
dc.date.issued
2020
dc.identifier.citation
Agent Based Models and Simulation in Social Sciences: A bibliometric review; Conference on Complex System 2020; Reino Unido; 2020; 1-23
dc.identifier.uri
http://hdl.handle.net/11336/247194
dc.description.abstract
Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation. This protocol provides a way to clearly explain the procedures and interactions of the complex systems to be analyzed, with applications that have spread across different disciplines. This work will show a bibliometric review of the articles that emerged from the first publication of this protocol in 2006, analyzing the development that ABMs have had in the social sciences. A description will be made of the lines of research with the greatest activity and the links between them will be analyzed; while summarizing the countries, universities, and journals with the highest contributions.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Society of Complex Systems
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
BIBLIOMETRIC REVIEW
dc.subject
MODELIZATION
dc.subject
COMPLEX SYSTEM
dc.subject.classification
Otras Economía y Negocios
dc.subject.classification
Economía y Negocios
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CIENCIAS SOCIALES
dc.title
Agent Based Models and Simulation in Social Sciences: A bibliometric review
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:ar-repo/semantics/documento de conferencia
dc.date.updated
2022-11-04T13:39:15Z
dc.journal.pagination
1-23
dc.journal.pais
Reino Unido
dc.journal.ciudad
On line
dc.description.fil
Fil: Alvarez, Emiliano. Universidad de la Republica; Uruguay
dc.description.fil
Fil: Brida, Gabriel. Universidad de la Republica; Uruguay
dc.description.fil
Fil: London, Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://zenodo.org/record/4419178
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5281/zenodo.4419177
dc.conicet.rol
Autor
dc.conicet.rol
Autor
dc.conicet.rol
Autor
dc.coverage
Internacional
dc.type.subtype
Conferencia
dc.description.nombreEvento
Conference on Complex System 2020
dc.date.evento
2020-12-07
dc.description.paisEvento
Reino Unido
dc.type.publicacion
Book
dc.description.institucionOrganizadora
Complex Systems Society
dc.source.libro
CCS2020 - Conference on Complex System 2020 - Book of Abstracts
dc.date.eventoHasta
2020-12-11
dc.type
Conferencia
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